SIA OpenIR  > 工业信息学研究室  > 先进制造技术研究室
PS2O: A Multi-Swarm Optimizer for Discrete Optimization
Chen HN(陈瀚宁); Zhu YL(朱云龙); Hu KY(胡琨元); Ku T(库涛)
Department先进制造技术研究室
Conference Name7th World Congress on Intelligent Control and Automation
Conference DateJune 25-27, 2008
Conference PlaceChongqing, China
Author of SourceChongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
Source Publication2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
PublisherIEEE
Publication PlaceNEW YORK
2008
Pages587-592
Indexed ByEI ; CPCI(ISTP)
EI Accession number20083911599457
WOS IDWOS:000259965700108
Contribution Rank1
ISBN978-1-4244-2113-8
KeywordCoevolution (Pso)-o-2 Pso Optimization
AbstractIn this paper, we implement an entire social system which consists of both heterogeneous cooperation and homogeneous cooperation aspects to formulate our simulation models of coevolution. We introduced a number of N species each possesses a number of M individuals into this coevolution model to represents the "biological community". Each individual of the community evolves based on the knowledge integration of itself, its species member and its symbiotic partners from other species. Since the community is made up of a swarm of agents who are species while each species is made up of a swarm of species members (individuals), our swarms within swarm model is instantiated as a hierarchical coevolutionary optimization algorithm, namely Particle Swarms Swarm Optimizer ((PSO)-O-2). The (PSO)-O-2 algorithm is evaluated on four discrete optimization problems for compared with the canonical discrete PSO algorithm. The comparisons show that on average, (PSO)-O-2 outperforms the PSO in terms of accuracy and convergence speed on all benchmark functions.
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8256
Collection工业信息学研究室_先进制造技术研究室
Corresponding AuthorChen HN(陈瀚宁)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.School of Graduate, Chinese Academy of Sciences, Beijing, 100039, China
Recommended Citation
GB/T 7714
Chen HN,Zhu YL,Hu KY,et al. PS2O: A Multi-Swarm Optimizer for Discrete Optimization[C]//Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn. NEW YORK:IEEE,2008:587-592.
Files in This Item:
File Name/Size DocType Version Access License
HYQW000885.pdf(165KB)会议论文 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen HN(陈瀚宁)]'s Articles
[Zhu YL(朱云龙)]'s Articles
[Hu KY(胡琨元)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen HN(陈瀚宁)]'s Articles
[Zhu YL(朱云龙)]'s Articles
[Hu KY(胡琨元)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen HN(陈瀚宁)]'s Articles
[Zhu YL(朱云龙)]'s Articles
[Hu KY(胡琨元)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: HYQW000885.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.